Oryza sativa
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ABSTRACT:
PROVIDER: PRJNA149055 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:To support our research of epigenomics in rice genome, we conducted massively parallel pyrosequencing of mRNAs (RNA-seq) using rice seedling and callus tissues. We obtained a total of 40.1 M reads from seedling and 29.6 M reads from callus.The RNA-seq data derived from the replicates showed high correlations (Spearman’s rank correlation coefficient, SC, 0.96 for seedling, 0.88 for callus). Our RNAseq data derived from the seedling also showed a high correlation with the recently published rice RNA-seq data that was also from two-week old seeding tissue (Lu et al., 2010, PMID: 20627892) (SC=0.87).
2011-11-09 | GSE33265 | GEO
Project description:Phosphate starvation/sufficient rice seedling, root or shoot Pi-starvation or Pi-sufficient stresses responsible rice genes, including previously unannotated genes were identified by Illumina mRNA-seq technology. 53 million reads from Pi-starvation or Pi-sufficient root or shoot tissues were uniquely mapped to the rice genome, and these included 40574 RAP3 transcripts in root and 39748 RAP3 transcripts in shoot. We compared our mRNA-seq expression data with that from Rice 44K oligomicroarray, and about 95.5% (root) and 95.4% (shoot) transcripts supported by the array were confirmed expression both by the array and by mRNA-seq, Moreover, 11888 (root) and 11098 (shoot) RAP genes which were not supported by array, were evidenced expression with mRNA-seq. Furthermore, we discovered 8590 (root) and 8193 (shoot) previously unannotated transcripts upon Pi-starvation and/or Pi-sufficient.
2012-01-06 | E-MTAB-4302 | biostudies-arrayexpress
Project description:To support our research of epigenomics in rice genome, we conducted massively parallel pyrosequencing of mRNAs (RNA-seq) using rice seedling and callus tissues. We obtained a total of 40.1 M reads from seedling and 29.6 M reads from callus.The RNA-seq data derived from the replicates showed high correlations (Spearman’s rank correlation coefficient, SC, 0.96 for seedling, 0.88 for callus). Our RNAseq data derived from the seedling also showed a high correlation with the recently published rice RNA-seq data that was also from two-week old seeding tissue (Lu et al., 2010, PMID: 20627892) (SC=0.87). Two biological replicates of each tissue was applied in RNA-seq. Each biological replicate was sequenced twice in separate lane.
2011-11-09 | E-GEOD-33265 | biostudies-arrayexpress
Project description:This experiment was designed to identify transcribed regions of japonica subspecies of the rice genome. A series of high-density oligonucleotide tiling arrays that represent sense and antisense strands of the entire nonrepetitive sequence of all the 12 chromosomes were designed to measure genome-wide transcription. A total of 12253842 36mer oligonucleotide probes positioned every 46 nt on average were used for this purpose. The probes were synthesized via maskless photolithography at a feature density of approximately 389,000 probes per slide. The arrays were hybridized with fluorescence-labeled cDNA reverse-transcribed from equal amounts of four selected poly(A)+ RNA population (seedling root, seedling shoot, panicle, and suspension cultured cells). Keywords: tiling array, genome-wide transcription
2007-02-21 | GSE6996 | GEO
Project description:Oryza sativa Japonica (rice) is the staple food for all over world population. At the time of germination, the exposure to light may play an important role in the early development of the rice seedling. In order to survey the genes, their functions and role in biological processes, an RNA-Seq based study of 6 libraries prepared from poly-A rich mRNA fraction was carried out to explore transcriptional programs operating in dark and light conditions. For each treatment type, three individual plants were used as biological replicates.
2022-12-01 | E-MTAB-5689 | biostudies-arrayexpress
Project description:A biological phenomenon in which hybrids exhibit superior phenotypes from its parental inbred lines known as heterosis, has been widely exploited in plant breeding and extensively used in crop improvement. Hybrid rice has immense potential to increase yield over other rice varieties and hence is crucial in meeting increasing demand of rice globally. Moreover, the molecular basis of heterosis is still not fully understood and hence it becomes imperative to unravel its genetic and molecular basis. In this context, RNA sequencing technology (RNA-Seq) was employed to sequence transcriptomes of two rice hybrids, Ajay and Rajalaxmi, their parental lines, CRMS31A (sterile line, based on WA-CMS) and CRMS32A (sterile line based on Kalinga-CMS) respectively along with the common restorer line of both hybrids, IR-42266-29-3R at two critical rice developmental stages viz., panicle initiation (PI) and grain filling (GF). Identification of differentially expressed genes (DEGs) at PI and GF stages will further pave the way for understanding heterosis. In addition, such kind of study would help in better understanding of heterosis mechanism and genes up-regulated and down-regulated during the critical stages of rice development for higher yield.
2015-08-02 | E-MTAB-4291 | biostudies-arrayexpress
Project description:In this study, we focused on the profiling of rice young seedling phosphosites, phosphopeptides and phosphorylation intensity dynamics in response to ABA by employing a label-free, MS-based phosphoproteomic approach, and aimed to reveal the biological significance of protein phosphorylation in ABA signaling from the phosphoproteomic data.
2017-01-17 | PXD004939 | Pride
Project description:The R-loop is a common chromatin feature presented from prokaryotic to eukaryotic genomes and has been revealed to be involved in multiple cellular processes and associated with many human diseases. Here, we take the advantage of our recently developed ssDRIP-seq method to profile genome-wide R-loop levels and provided a first-hand R-loop atlas of Rice (Oryza sativa) at different developmental stages.
2022-12-10 | GSE120922 | GEO
Project description:Here, we present OryzaPG-DB, a rice proteome database based on shotgun proteogenomics, which incorporates the genomic features of experimental shotgun proteomics data. This version of the database was created from the results of 27 nanoLC-MS/MS runs on a hybrid ion trap-orbitrap mass spectrometer, which offers high accuracy for analyzing tryptic digests from undifferentiated cultured rice cells. Peptides were identified by searching the product ion spectra against the protein, cDNA, transcript and genome databases from Michigan State University, and were mapped to the rice genome. Approximately 3200 genes were covered by these peptides and 40 of them contained novel genomic features. Users can search, download or navigate the database per chromosome, gene, protein, cDNA or transcript and download the updated annotations in standard GFF3 format, with visualization in PNG format. In addition, the database scheme of OryzaPG was designed to be generic and can be reused to host similar proteogenomic information for other species. OryzaPG is the first proteogenomics-based database of the rice proteome, providing peptide-based expression profiles, together with the corresponding genomic origin, including the annotation of novelty for each peptide.
2016-07-20 | PXD004603 | JPOST Repository